Data Engineer

Job not on LinkedIn

🔥 1 hour ago

🇨🇴 Colombia – Remote

⏰ Full Time

🟡 Mid-level

🟠 Senior

🚰 Data Engineer

👻 Ghost score 12%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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Onebeat

WebsiteLinkedInAll Job Openings

51 - 200 employees

Founded 2018

📦 Logistics

🏭 Manufacturing

🛒 Retail

💰 $10M Series B on 2023-06

Logistics • Manufacturing • Retail

Onebeat is a technology company that specializes in optimizing retail inventory management for various industries, utilizing AI-driven insights to enhance supply chain efficiency and maximize profitability. By analyzing store-specific demand data in real-time, Onebeat helps retailers move the right products to the right locations, thereby reducing stockouts and minimizing markdowns. Their solutions allow retailers to adapt to consumer demand dynamically, ensuring optimal inventory levels and driving full-price sales while increasing margins.

📋 Description

• Develop a scalable data platform integrating multiple sources for easy access • Design and enhance data tools for orchestration, governance, Data-Lakehouse, BI, and related functions • Ensure smooth operation of data systems for analysts, scientists, and engineers • Optimize data pipelines for ingestion, processing, and output in a microservices environment • Build, maintain, and monitor ETL/ELT processes and orchestrate workflows using Temporal • Troubleshoot and improve the performance, scalability, and reliability of data infrastructure including S3, Apache Iceberg, and ClickHouse • Collaborate with data scientists, analysts, and backend engineers to understand data needs and deliver solutions • Implement and champion data quality, governance, and security best practices across the platform

🎯 Requirements

• 3+ years of experience as a Data Engineer or in a similar data infrastructure role • Strong proficiency in SQL and hands-on experience with data modeling • Experience with data lake/lakehouse architectures (e.g., Apache Iceberg, S3, or similar) • Experience with analytical / columnar databases (e.g., ClickHouse or similar) • Experience building and orchestrating ETL/ELT pipelines (e.g., Temporal, Airflow, or similar) • Strong programming skills in Python and/or Scala/Java • Experience working within a microservices architecture and cloud environments (AWS preferred) • Self-motivated, strong multitasking skills, and a demonstrated team player • Excellent communication skills and the ability to work both independently and collaboratively • Hands-on experience with Apache Spark (or similar technologies) for large-scale data processing • Professional proficiency in written and spoken English • Role focused on batch data processing, not real-time streaming • Nice to have: experience with open-source data platforms and tools • Nice to have: familiarity with BI and visualization tools such as Superset, Looker, Tableau, or Metabase • Nice to have: experience with Docker and Kubernetes • Nice to have: experience with infrastructure-as-code and CI/CD practices • Nice to have: experience with AWS EMR and cloud-based Apache Spark workloads • Nice to have: experience with AI-assisted development tools such as GitHub Copilot or Cursor

🏖️ Benefits

• Remote work • Full-time employment